Nvidia

Nvidia

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Senior VLSI CAD Software Engineer

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people ...

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Senior Solutions Architect, Generative AI Specialist

Senior Solutions Architect, Generative AI Specialist

NVIDIA

Manhattan, NY โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
NVIDIA is seeking a Generative AI Specialist to join their Advanced Technology Partner team as a Senior Solutions Architect. In this role, you will act as a trusted technical advisor and hands-on creator for NVIDIA's sophisticated AI partners, leading prototyping and proof-of-concept collaborations to accelerate the transition from concept to production.
Responsibilities:
โ€ข Serve as the main technical contact for sophisticated AI collaborators, leading in-depth technical relationships and coordinating their roadmaps with NVIDIA's platform and emerging technology.
โ€ข Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs.
โ€ข Build and architect enterprise-grade agentic AI systems, retrieval-augmented generation (RAG) pipelines, and multi-modal workflows, delivering high-performance, GPU-accelerated inference at scale.
โ€ข Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment.
โ€ข Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers.
โ€ข Work alongside NVIDIAโ€™s internal engineering, research, and product teams to resolve critical partner challenges and speed up shared achievements.
โ€ข Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the teamโ€™s depth.
โ€ข Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem.
Qualifications:
Required:
โ€ข 8+ years of relevant engineering experience crafting, developing, and deploying AI/ML systems and sophisticated LLM workflows.
โ€ข MS or advanced degree in Computer Science, AI, or a related fieldโ€”or equivalent experience.
โ€ข Deep proficiency in advanced GenAI techniques, including retrieval-augmented generation (RAG), prompt engineering, and production inference optimization.
โ€ข Familiarity with agentic AI standards and expertise in building robust, production-grade multi-agent and multimodal architectures.
โ€ข Hands-on experience with model fine-tuning (PEFT, LoRA), synthetic data generation, and building automated evaluation frameworks.
โ€ข Strong command of GPU-optimized infrastructure, containerization, and MLOps pipelines for distributed training and inference.
โ€ข Understanding of AI observability and responsible AI practices, including guardrail implementation and regulatory compliance like GDPR or HIPAA.
โ€ข Experience bridging cloud and on-premises deployments and familiarity with Physical AI concepts such as edge inference.
โ€ข Proven track record of communicating complex technical concepts to both developer teams and executive stakeholders.
Preferred:
โ€ข A tangible body of work demonstrating your builder foundation: open-source contributions, publications, patents, recorded talks, technical blogs, or equivalent public artifacts.
โ€ข Skilled in NVIDIA's AI software suite including NVIDIA AI Enterprise (NVAIE), NIM inference microservices, NeMo, NeMo Curator, Nemotron model family, NVIDIA Blueprints, TensorRT, Triton Inference Server, CUDA libraries, and NVIDIA Agent Intelligence toolkit (NAI/NAT). Knowledge of new NVIDIA frameworks like NemoClaw/OpenShell.
โ€ข Experience engaging with Physical AI platforms like NVIDIA Omniverse, Isaac Sim, Jetson edge computing, or in production robotics/autonomous systems implementations.
โ€ข Active participation in the AI community: conference presentations, open-source project leadership, or recognized expertise in a specific GenAI domain.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Nvidia

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993